Extending Lasso Model Fitting to Big Data R package biglasso version 1.6.1 Extend lasso and elastic-net model fitting for large data sets that cannot be loaded into memory. Designed to be more memory- and computation-efficient than existing lasso-fitting packages like 'glmnet' and 'ncvreg', thus allowing the user to analyze big data with limited RAM <doi:10.32614/RJ-2021-001>. Software Depends: R (>= 3.2.0), bigmemory (>= 4.5.0), Matrix, ncvreg Imports: Rcpp (>= 0.12.1), methods LinkingTo: Rcpp, RcppArmadillo (>= 0.8.600), bigmemory, BH Suggests: glmnet, knitr, parallel, rmarkdown, survival, tinytest Patrick Breheny <patrick-breheny@uiowa.edu> Comprehensive R Archive Network (CRAN) Yaohui Zeng [aut], Chuyi Wang [aut], Tabitha Peter [aut], Patrick Breheny [aut, cre] (ORCID: <https://orcid.org/0000-0002-0650-1119>) GPL-3 2025-03-05 application/tgz https://CRAN.R-project.org/package=biglasso doi:10.32614/CRAN.package.biglasso